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Artificial Intelligence
The newest papers in Artificial Intelligence that ReadSearch has read, newest first. Each links to its own page, with its authors, date, where it was published and the original.
The newest 5,000 papers, from 11 October 2026 to 5 November 2026: 4,998 arXiv preprints and 2 OpenAlex records.
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Newest papers, page 87
LearnPrunerV2: Learnable Progressive Token Pruning for Vision-Language Models
Vision-Language Models (VLMs) have demonstrated remarkable multimodal capabilities but suffer from prohibitive computational overhead due to the massive number of visual tokens.SpectRAG: Weighted Chunk Graphs for Token-Budgeted Context Selection in Multi-Hop Retrieval-Augmented Generation
Retrieval-augmented generation (RAG) systems ground large language models (LLMs) by retrieving external evidence and conditioning generation on the retrieved context.Evaluating Priority Dispatch for Premium Membership in On-demand Taxi-sharing
In this paper, we analyze the dispatch-level feasibility of introducing premium membership into an on-demand taxi-sharing service using a sequential optimal insertion method.V-LUMEN: Visual Lookup Memory for Embedding Scaling in Vision-Language Models
Embedding-level scaling expands the capacity of language models through lookup-based memory rather than by increasing model depth, width, or dense computation.Crop Yield Prediction Using Regression Models: A Comparative Evaluation of Model Performance
Reliable crop-yield prediction can support agricultural planning and resource allocation.Interpretable Deep Learning Models for Breast Cancer Diagnosis Using Medical Imaging
Deep learning shows promise for breast cancer diagnosis, but limited interpretability hinders clinical adoption.Zooming without Zooming v2: From Seeing Details to Connecting Evidence for Generalizable Multimodal Perception
Multimodal perception forms the foundation of multimodal intelligence.Guided-RLVR: Guided Exploration in Reinforcement Learning with Verifiable Rewards
Reinforcement learning with verifiable rewards (RLVR) has shown strong empirical gains in improving the reasoning ability of large language models (LLMs) on tasks such as mathematics and programming.AI-Assisted Discovery of CNOT Decompositions for Quantum Permutations on Constrained Topologies
Efficient quantum circuit compilation is challenging for quantum computers, where limited qubit connectivity can introduce substantial overhead in the implementation of logical operations.Blindfold: Keeping the Audit Coin Secret from LLM Agents
Audit-based certification bounds the violation rate of an LLM agent by auditing a random fraction $\varepsilon$ of actions and reweighting the audited labels; its validity is meant to rest only on…Exploring the Limits of the Delta Learning Hypothesis: Single-Pair Generator Biases in Direct Preference Optimization
Direct Preference Optimization (DPO) typically relies on preference pairs generated from diverse model pools and ranked by an external LLM judge.EnergyCal: Taming Loss Spikes in Muon-Family Optimizers for Sparse MoE Training
Sparse mixture-of-experts (MoE) language-model training can exhibit large loss spikes with Muon-family optimizers.Correctness Conditioning as Selection in Chain-of-Thought Faithfulness Evaluation
Restricting chain-of-thought (CoT) faithfulness evaluation to correctly answered instances changes the population being measured.OpenGray: a benchmark for evaluating the decisions of radiotherapy planning agents
Background and purpose: Radiotherapy planning agents based on large language models (LLMs) decide when to submit a plan or request review but are evaluated mainly by dose.Learning to Look Beyond Screens: Transferable Visual Observation from GUI Grounding
Visual perception is evolving from passive recognition toward active, task-oriented observation.Hardware-Matched Spiking Neural Networks for Real-Time Purkinje Cell Spike Classification
Distinguishing Purkinje cell (PC) simple spikes (SSs) from complex spikes (CSs) is key to studying cerebellar function.A First-Step Bias Restores Lost Diversity in Diffusion Model Distillation
Distribution-matching distillation enables high-quality image generation in only a few denoising steps.Prospector: learning a compact graph traversal policy for scientific reasoning
Scientific reasoning in specialized engineering fields depends on knowledge scattered across the literature, often proprietary and absent from frontier LLM training data.SFE-O: An Ontology for Knowledge-Grounded AI in Supercritical CO$_2$ Biomass Extraction and Fractionation
Supercritical CO$_2$ extraction (CO$_2$-SFE) offers a sustainable route for recovering high-value compounds from biomass while limiting the use of conventional organic solvents, but its design and…MRI-to-CT Translation of Spinal Images via Anatomy-Guided Pseudo-Pairing and Adversarial Diffusion
Magnetic Resonance Imaging (MRI) is routinely used to diagnose spinal disorders, but surgical planning often requires Computed Tomography (CT) for better visualization of vertebral bone anatomy.